Curt Langlotz

  • Stanford University, Center for Artificial Intelligence in Medicine and Imaging, CA, USA
  • University of Pennsylvania, Philadelphia, USA

According to our database1, Curt Langlotz authored at least 47 papers between 1983 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging.
Nat. Mach. Intell., 2021

Biomedical and clinical English model packages for the Stanza Python NLP library.
J. Am. Medical Informatics Assoc., 2021

Simulating time to event prediction with spatiotemporal echocardiography deep learning.
CoRR, 2021

Medical Imaging and Machine Learning.
CoRR, 2021

Predicting post-operative right ventricular failure using video-based deep learning.
CoRR, 2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cut out the annotator, keep the cutout: better segmentation with weak supervision.
Proceedings of the 9th International Conference on Learning Representations, 2021

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Video-based AI for beat-to-beat assessment of cardiac function.
Nat., 2020

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.
CoRR, 2020

Contrastive Learning of Medical Visual Representations from Paired Images and Text.
CoRR, 2020

SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans.
CoRR, 2020

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR, 2019

Cross-type biomedical named entity recognition with deep multi-task learning.
Bioinform., 2019

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Artif. Intell. Medicine, 2019

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.
J. Digit. Imaging, 2018

The LOINC RSNA radiology playbook - a unified terminology for radiology procedures.
J. Am. Medical Informatics Assoc., 2018

Expanding a radiology lexicon using contextual patterns in radiology reports.
J. Am. Medical Informatics Assoc., 2018

Learning to Summarize Radiology Findings.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.
J. Digit. Imaging, 2017

Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features.
J. Digit. Imaging, 2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs.
CoRR, 2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.
CoRR, 2017

The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures.
Proceedings of the AMIA 2017, 2017

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.
J. Digit. Imaging, 2016

Health IT vendors and the academic community: The 2014 ACMI debate.
J. Biomed. Informatics, 2016

Information extraction from multi-institutional radiology reports.
Artif. Intell. Medicine, 2016

Conversion of Radiology Reporting Templates to the MRRT Standard.
J. Digit. Imaging, 2015

Automated Detection of Critical Results in Radiology Reports.
J. Digit. Imaging, 2012

Extracting templates from radiology reports using sequence alignment.
Int. J. Data Min. Bioinform., 2012

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results.
J. Digit. Imaging, 2010

Radiologist Use of and Perceived Need for Patient Data Access.
J. Digit. Imaging, 2009

Improving language models for radiology speech recognition.
J. Biomed. Informatics, 2009

From the Chair: The Top 10 Myths About Imaging Informatics Certification (January 2008-SIIM News).
J. Digit. Imaging, 2008

Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS.
J. Digit. Imaging, 2006

The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite.
J. Digit. Imaging, 2002

Enhancing the expressiveness and usability of structured image reporting systems.
Proceedings of the AMIA 2000, 2000

A methodology for the economic assessment of picture archiving and communication systems.
J. Digit. Imaging, 1995

Logic and Decision-Theoretic Methods for Planning under Uncertainty.
AI Mag., 1989

Using Decision Theory to Justify Heuristics.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

A Framework for Comparing Alternative Formalisms for Plausible Reasoning.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

ONYX: An Architecture for Planning in Uncertain Environments.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Adapting a Consultation System to Critique User Plans.
Int. J. Man Mach. Stud., 1983